Jim's
Tutorials

Spring 2018
course
site

Chris

I fixed the code from the previous week's audio analysis to look at a much shorter audio sample, and the results for the FFT and the Hanning window make a lot more sense now. I also added a Gaussian convolution to the original signal and also to of the frequency domain graph (out of curiosity), but I'm not sure it is functioning correctly in either.

In the other file, I apply a 2D Gaussian kernel to an image to blur it, but made use of the convolution theorem to perform the convolution by FFT.

attachments [paper clip]

  last modified size
TXT AudioAnalysis2.html Wed Jul 24 2024 11:51 pm 359K
TXT AudioAnalysis2.ipynb Wed Jul 24 2024 11:51 pm 100K
TXT GaussianBlurWith_FFT.html Wed Jul 24 2024 11:51 pm 552K
TXT GaussianBlurWith_FFT.ipynb Wed Jul 24 2024 11:51 pm 302K
TXT jim_2d.html Wed Jul 24 2024 11:51 pm 464K
TXT jim_2d.ipynb Wed Jul 24 2024 11:51 pm 216K